Efficient Variational Light Field View Synthesis For Making Stereoscopic 3D Images

2015 ◽  
Vol 34 (7) ◽  
pp. 183-191 ◽  
Author(s):  
Lei Zhang ◽  
Yu-Hang Zhang ◽  
Hua Huang
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
3D Images ◽  
Stereoscopic 3D ◽  
Field View

Disparity Guided Texture Inpainting for Light Field View Synthesis

2018 ◽  
Author(s):  
Yue Li ◽  
Reji Mathew ◽  
David Taubman
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
Field View

scholarly journals DCM-CNN: Densely Connected Multiloss Convolutional Neural Networks for Light Field View Synthesis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 78542-78552
Author(s):  
Lu Liu ◽  
Zicheng Nian ◽  
Cheolkon Jung
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Light Field ◽  
View Synthesis ◽  
Field View

scholarly journals Light-Field View Synthesis Using A Convolutional Block Attention Module

2021 ◽  
Author(s):  
M. Shahzeb Khan Gul ◽  
M. Umair Mukati ◽  
Michel Batz ◽  
Soren Forchhammer ◽  
Joachim Keinert
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
Field View

Learning-Based Light Field View Synthesis for Efficient Transmission and Storage

2021 ◽  
Author(s):  
Abrar Wafa ◽  
Mahsa T. Pourazad ◽  
Panos Nasiopoulos
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
And Storage ◽  
Field View ◽  
Efficient Transmission

scholarly journals Light Field View Synthesis via Aperture Disparity and Warping Confidence Map

2021 ◽  
pp. 1-1
Author(s):  
Nan Meng ◽  
Kai Li ◽  
Jianzhuang Liu ◽  
Edmund Y. Lam
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
Field View

scholarly journals Fast and Accurate Light Field View Synthesis by Optimizing Input View Selection

Micromachines ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 557
Author(s):  
Xingzheng Wang ◽  
Yongqiang Zan ◽  
Senlin You ◽  
Yuanlong Deng ◽  
Lihua Li
Keyword(s):  
Spatial Resolution ◽  
Light Field ◽  
Angular Resolution ◽  
Super Resolution ◽  
Depth Estimation ◽  
View Synthesis ◽  
The Novel ◽  
Arbitrary Location ◽  
Field View

There is a trade-off between spatial resolution and angular resolution limits in light field applications; various targeted algorithms have been proposed to enhance angular resolution while ensuring high spatial resolution simultaneously, which is also called view synthesis. Among them, depth estimation-based methods can use only four corner views to reconstruct a novel view at an arbitrary location. However, depth estimation is a time-consuming process, and the quality of the reconstructed novel view is not only related to the number of the input views, but also the location of the input views. In this paper, we explore the relationship between different input view selections with the angular super-resolution reconstruction results. Different numbers and positions of input views are selected to compare the speed of super-resolution reconstruction and the quality of novel views. Experimental results show that the speed of the algorithm decreases with the increase of the input views for each novel view, and the quality of the novel view decreases with the increase of the distance from the input views. After comparison using two input views in the same line to reconstruct the novel views between them, fast and accurate light field view synthesis is achieved.

scholarly journals Attention Mechanism-Based Light-Field View Synthesis

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
M. Shahzeb Khan Gul ◽  
M. Umair Mukati ◽  
Michel Botz ◽  
Soren Forchhammer ◽  
Joachim Keinert
Keyword(s):  
Light Field ◽  
Attention Mechanism ◽  
View Synthesis ◽  
Field View

scholarly journals Self-supervised Light Field View Synthesis Using Cycle Consistency

2020 ◽  
Author(s):  
Yang Chen ◽  
Martin Alain ◽  
Aljosa Smolic
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
Field View

GPU-Accelerated Interactive Virtual View Synthesis from Light Field Images

2019 ◽  
pp. 83
Author(s):  
Hyeonjin Jung ◽  
Joungil Yun ◽  
Won-Sik Cheong ◽  
Youngmin Yi
Keyword(s):  
Light Field ◽  
View Synthesis ◽  
Virtual View Synthesis ◽  
Virtual View
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